Triple

T21032218
Position Surface form Disambiguated ID Type / Status
Subject Juan Tizol E518090 entity
Predicate composerOf P1142 FINISHED
Object Moonlight Fiesta NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Moonlight Fiesta | Statement: [Juan Tizol, composerOf, Moonlight Fiesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moonlight Fiesta
Context triple: [Juan Tizol, composerOf, Moonlight Fiesta]
  • A. Moonlight Fiesta chosen
    "Moonlight Fiesta" is a jazz composition by trombonist and composer Juan Tizol, known for its Latin-influenced rhythms and lush orchestration.
  • B. Fiesta
    Fiesta is a popular annual cultural festival in Santa Barbara, California, celebrating the city’s Spanish and Mexican heritage with parades, music, dance, and traditional costumes.
  • C. Fiesta
    "Fiesta" is a song by R. Kelly, known for its upbeat, party-themed vibe and popularity in early 2000s R&B.
  • D. Fiesta
    Fiesta is a major annual festival in San Antonio, Texas, featuring parades, cultural events, music, and citywide celebrations.
  • E. Fiesta
    Fiesta is a famous line of brightly colored, collectible ceramic dinnerware produced by the Homer Laughlin China Company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc82b5348190b449d59e6cada9de completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:56 p.m.